Atlas / Skills / affaan-m / Django Celery

Django CelerySAFE

skills/affaan-m/django-celery

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
263,042
01

Overview

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Read from source at commit bd656e3e97c4OBSERVED · 2026-09-20
02

Install

Commands as the repository documents them. They are shown, not run.

pip install celery redis
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: django-celery
description: DjangoおよびCeleryを使用した非同期タスク処理。タスクキューイング、ワーカー管理、エラー処理、スケジューリング。Redis/RabbitMQ ブローカー統合。
origin: ECC
---

# Django + Celery 非同期タスク

Django でのバックグラウンドジョブと非同期処理。

## 使用時期

- メール送信をバックグラウンドで実行
- 重い処理をスケジュール
- 定期的なタスクを実行(日報、クリーンアップ)
- 外部API呼び出しをキューイング
- 複雑なワークフローを調整

## セットアップ

### 1. Celery インストール

```bash
pip install celery redis
```

### 2. タスク定義

```python
from celery import shared_task

@shared_task
def send_email(recipient):
    # メール送信ロジック
    pass
```

### 3. ワーカー起動

```bash
celery -A myapp worker -l info
```

## タスク

### 非同期実行

```python
send_email.delay(recipient)  # すぐにキューに追加、非同期実行
```

### スケジューリング

```python
from celery.schedules import crontab

app.conf.beat_schedule = {
    'send-report-daily': {
        'task': 'app.tasks.send_report',
        'schedule': crontab(hour=9, minute=0),
    },
}
```

## エラーハンドリング

- [ ] リトライロジック実装
- [ ] デッドレター処理
- [ ] ロギング構成
- [ ] モニタリング設定(Flower)

詳細については、ドキュメントを参照してください。
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-09-20 · audit v0.4.1 · source sha bd656e3e97c4full audit observations/trust-audit/skill/affaan-m__django-celery.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-20bd656e3e97c4SAFEB89first audit
06

Questions

What does the Django Celery skill do?

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Is Django Celery safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Django Celery access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (bd656e3e97c4), read on 2026-09-20. The repository is watched, and a new audit runs when it changes — this is the first audit.

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